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Geo-distance query

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Geo-distance query

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Matches geo_point and geo_shape values within a given distance of a geopoint.

Example

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Assume the following documents are indexed:

response = client.indices.create(
  index: 'my_locations',
  body: {
    mappings: {
      properties: {
        pin: {
          properties: {
            location: {
              type: 'geo_point'
            }
          }
        }
      }
    }
  }
)
puts response

response = client.index(
  index: 'my_locations',
  id: 1,
  body: {
    pin: {
      location: {
        lat: 40.12,
        lon: -71.34
      }
    }
  }
)
puts response

response = client.indices.create(
  index: 'my_geoshapes',
  body: {
    mappings: {
      properties: {
        pin: {
          properties: {
            location: {
              type: 'geo_shape'
            }
          }
        }
      }
    }
  }
)
puts response

response = client.index(
  index: 'my_geoshapes',
  id: 1,
  body: {
    pin: {
      location: {
        type: 'polygon',
        coordinates: [
          [
            [
              13,
              51.5
            ],
            [
              15,
              51.5
            ],
            [
              15,
              54
            ],
            [
              13,
              54
            ],
            [
              13,
              51.5
            ]
          ]
        ]
      }
    }
  }
)
puts response

PUT /my_locations
{
  "mappings": {
    "properties": {
      "pin": {
        "properties": {
          "location": {
            "type": "geo_point"
          }
        }
      }
    }
  }
}

PUT /my_locations/_doc/1
{
  "pin": {
    "location": {
      "lat": 40.12,
      "lon": -71.34
    }
  }
}

PUT /my_geoshapes
{
  "mappings": {
    "properties": {
      "pin": {
        "properties": {
          "location": {
            "type": "geo_shape"
          }
        }
      }
    }
  }
}

PUT /my_geoshapes/_doc/1
{
  "pin": {
    "location": {
      "type" : "polygon",
      "coordinates" : [[[13.0 ,51.5], [15.0, 51.5], [15.0, 54.0], [13.0, 54.0], [13.0 ,51.5]]]
    }
  }
}

Use a geo_distance filter to match geo_point values within a specified distance of another geopoint:

response = client.search(
  index: 'my_locations',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '200km',
            "pin.location": {
              lat: 40,
              lon: -70
            }
          }
        }
      }
    }
  }
)
puts response

GET /my_locations/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "200km",
          "pin.location": {
            "lat": 40,
            "lon": -70
          }
        }
      }
    }
  }
}

Use the same filter to match geo_shape values within the given distance:

response = client.search(
  index: 'my_geoshapes',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '200km',
            "pin.location": {
              lat: 40,
              lon: -70
            }
          }
        }
      }
    }
  }
)
puts response

GET my_geoshapes/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "200km",
          "pin.location": {
            "lat": 40,
            "lon": -70
          }
        }
      }
    }
  }
}

To match both geo_point and geo_shape values, search both indices:

response = client.search(
  index: 'my_locations,my_geoshapes',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '200km',
            "pin.location": {
              lat: 40,
              lon: -70
            }
          }
        }
      }
    }
  }
)
puts response

GET my_locations,my_geoshapes/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "200km",
          "pin.location": {
            "lat": 40,
            "lon": -70
          }
        }
      }
    }
  }
}

Accepted formats

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In much the same way the geo_point type can accept different representations of the geo point, the filter can accept it as well:

Lat lon as properties

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response = client.search(
  index: 'my_locations',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '12km',
            "pin.location": {
              lat: 40,
              lon: -70
            }
          }
        }
      }
    }
  }
)
puts response

GET /my_locations/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "12km",
          "pin.location": {
            "lat": 40,
            "lon": -70
          }
        }
      }
    }
  }
}

Lat lon as array

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Format in [lon, lat], note, the order of lon/lat here in order to conform with GeoJSON.

response = client.search(
  index: 'my_locations',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '12km',
            "pin.location": [
              -70,
              40
            ]
          }
        }
      }
    }
  }
)
puts response

GET /my_locations/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "12km",
          "pin.location": [ -70, 40 ]
        }
      }
    }
  }
}

Lat lon as WKT string

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Format in Well-Known Text.

response = client.search(
  index: 'my_locations',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '12km',
            "pin.location": 'POINT (-70 40)'
          }
        }
      }
    }
  }
)
puts response

GET /my_locations/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "12km",
          "pin.location": "POINT (-70 40)"
        }
      }
    }
  }
}

Geohash

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response = client.search(
  index: 'my_locations',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '12km',
            "pin.location": 'drm3btev3e86'
          }
        }
      }
    }
  }
)
puts response

GET /my_locations/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "12km",
          "pin.location": "drm3btev3e86"
        }
      }
    }
  }
}

Options

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The following are options allowed on the filter:

`distance`	The radius of the circle centred on the specified location. Points which fall into this circle are considered to be matches. The `distance` can be specified in various units. See Distance Units.
`distance_type`	How to compute the distance. Can either be `arc` (default), or `plane` (faster, but inaccurate on long distances and close to the poles).
`_name`	Optional name field to identify the query
`validation_method`	Set to `IGNORE_MALFORMED` to accept geo points with invalid latitude or longitude, set to `COERCE` to additionally try and infer correct coordinates (default is `STRICT`).

Multi location per document

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The geo_distance filter can work with multiple locations / points per document. Once a single location / point matches the filter, the document will be included in the filter.

Ignore unmapped

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When set to true the ignore_unmapped option will ignore an unmapped field and will not match any documents for this query. This can be useful when querying multiple indexes which might have different mappings. When set to false (the default value) the query will throw an exception if the field is not mapped.

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